Lead Data Architect

$140000 - $160000

Join Coverys as a Lead Data Architect and play a critical role in shaping the future of the organization's enterprise data ecosystem. This is a full-time leadership opportunity focused on designing, building, and evolving a modern cloud-based data platform centered on Snowflake, supporting key business functions including underwriting, claims, actuarial, finance, and enterprise analytics. Location and work arrangement: [Confirm: location/work model].

This is an opportunity for a highly technical data leader who enjoys balancing architecture strategy with hands-on engineering. You will define enterprise-wide data standards, modernize legacy data pipelines, establish scalable data models, and mentor engineering teams while driving the organization's transition to a trusted, governed, and analytics-ready data platform. The ideal candidate thrives in complex environments, enjoys cross-functional collaboration, and is passionate about building enterprise-grade data solutions that directly influence business outcomes.

Required Skills & Experience · Bachelor’s degree in Computer Science or a related field from an accredited college or university

· 5-10 years of data architecture and data engineering experience, including technical leadership experience

· Strong expertise in conceptual, logical, and physical data modeling

· Hands-on experience designing enterprise data architecture

· Advanced ELT/ETL development experience utilizing modern cloud-native technologies

· Deep experience with cloud data warehouse platforms, preferably Snowflake

· Strong Python programming skills for data engineering and automation

· Advanced SQL skills and experience working with large-scale data processing environments

· Experience with data quality frameworks, metadata management, and data lineage

· Understanding of modern data integration patterns including CDC, event-driven ingestion, APIs, streaming, and orchestration

· Knowledge of MDM, canonical data modeling, and governance frameworks

· Experience mentoring and coaching data engineering teams

· Ability to communicate technical architecture and design decisions to senior leadership

· Eligible to work in the United States without sponsorship or employment restrictions

Desired Skills & Experience · Experience in the insurance industry

· Snowflake certification

· Experience with dbt, Airflow, Azure Data Factory, or similar modern data engineering tools

· Experience with Power BI or other business intelligence platforms

· Experience leading proofs of concept and evaluating emerging data technologies

· Experience implementing data-as-a-product principles across enterprise environments

What You Will Be Doing

Tech Breakdown

Snowflake Data Platform & Optimization

Data Architecture & Data Modeling

Python, SQL, and Data Engineering Development

Data Governance, Metadata, and Data Quality Frameworks

Cloud Data Integration, CDC, and Event-Driven Architecture

Daily Responsibilities

Design and maintain enterprise data architecture across core business domains

· Lead development and modernization of ELT/ETL pipelines and ingestion frameworks

Provide technical leadership, architectural oversight, and design reviews

Partner with business stakeholders, analytics teams, and enterprise architecture teams

· Mentor data engineers and establish engineering standards, governance, and best practices

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Motion Recruitment Partners (MRP) is an Equal Opportunity Employer. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy. Applicants need to make their needs known in advance.